This profile has not been claimed and data may not be accurate.
92nd percentile
NAE member, exited founder, and Distinguished Scientist at Google Research
Credibility
GTM / Distribution · 100th percentile
- google.com ranks #1 on the Majestic Million (global domain prominence).
Relationship Matrix
Most Complimentary
Founder score
- 95%Probability of being accurate (95%)google.com ranks #1 on the Majestic Million (global domain prominence).
- 95%Probability of being accurate (95%)Past founder of MotionDSP, which was subsequently acquired by Cubic Inc.
- 95%Probability of being accurate (95%)Wikidata/Wikipedia entity exists for Peyman Milanfar, confirming public notability.
- 92%Probability of being accurate (92%)Deep research credibility: h-index 61 and 19,955 citations across 300 works (OpenAlex).
- 92%Probability of being accurate (92%)Identified researcher with deep academic credibility: h-index 61 and 19,955 citations (OpenAlex).
- 70%Probability of being accurate (70%)MotionDSP was acquired by Cubic Inc. at an undisclosed price.
What you likely need
You sit at a rare intersection of world-class research credibility and proven founder-exit experience, so the Festival events that will move the needle for you are the ones that translate your Google Research output and NAE standing into visible entrepreneurial and investor identity. Small, high-trust dinners with deep-tech founders and imaging-adjacent VCs will help you formalize an angel practice and surface spinout opportunities without leaving your research home base. Roundtables and speaker slots at industry-crossover gatherings will let you convert your h-index 61 reputation into the kind of public founder-advisor profile that attracts deal flow and board seats.
Would you attend these IRL Festival events?
We will tune and customize your Founder Festival experience to make sure you get invited to the events that would be most valuable to you.
- tacticalA deep-tech research-to-startup roundtable with Google Brain, DeepMind, and MIT CSAIL alumni who have spun out IP-heavy companies, to pressure-test whether InDI or Zoom Enhance diffusion-model IP is structured for a clean spinout
- introsA founder-investor dinner with computational imaging and AI/ML angels (think Lux Capital, Radical Ventures, and Andreessen a16z Bio/Imaging partners) to help Peyman formalize a deal-flow pipeline anchored in his NAE membership and Google Research network
- positioningAn NAE-member founder dinner connecting fellow engineer-scientists who have crossed into advisory or board roles at AI and imaging startups like Mirage and Manifold, to map a concrete path from research reputation to public advisor track record
- positioningA keynote-prep roundtable with recent NeurIPS, CVPR, and ICCV industry-track speakers to workshop how Peyman can frame his computational photography research (RAISR, InDI, RED) for a mainstream AI industry audience rather than a purely academic one
- tacticalA tactical lunch with founders and engineers who have successfully launched high-star open-source projects out of Google Research or Meta AI (e.g., JAX, Detectron2 alumni) to design a release strategy for a RAISR or InDI reference implementation that captures real developer mindshare
- positioningA happy hour with researcher-turned-public-writers who built large audiences on Substack or dev.to (e.g., Andrej Karpathy, Chip Huyen orbit) to help Peyman design a computational photography writing practice that converts academic credibility into broad industry visibility
- tacticalA dinner with founders who have navigated undisclosed acquisitions and later surfaced their exit stories publicly — anchored around the MotionDSP-to-Cubic arc — to workshop how Peyman can document and share that founding narrative in a way that strengthens his founder profile without violating NDA constraints
- introsAn intimate office-hours session pairing Peyman with two or three seed-stage computational imaging and AI/ML founders actively raising, so he can begin building an angel investing track record with warm deal flow sourced directly through his Google Research and NAE network
